Functional Classification of Bitcoin Addresses. (arXiv:2202.12019v2 [stat.AP] UPDATED)

This paper proposes a classification model for predicting the main activity
of bitcoin addresses based on their balances. Since the balances are functions
of time, we apply methods from functional data analysis; more specifically, the
features of the proposed classification model are the functional principal
components of the data. Classifying bitcoin addresses is a relevant problem for
two main reasons: to understand the composition of the bitcoin market, and to
identify addresses used for illicit activities. Although other bitcoin
classifiers …

arxiv bitcoin classification